1. Location of Severe Fires

The map used is Stamen.Toner, There were few irregularities in the data.

Such Values were filtered using using NYC boundries fro North, South, East and West Direstions West -74.257159 East -73.699215 North 40.915568 South 40.495992.

2. Layers and Clusters

2a. Color by Type of Property

There were Many Categories related to Type of Property.They were collapsed into 2 Broader categories.

  • Residential/Multihousing The Category number Ranging from 400 to 499 was categories into this group.

  • Commercial/Others Rest all were added in this category.

Residential/Multihousing property are those with sole residential purpose, any other property with any commercial/business use were categorised in Category 2.

2b. Cluster

Added marker clustering, so that zooming in will reveal the individual locations but the zoomed out map only shows the clusters.

3. Fire Houses

  1. The Data for Fire Houses had 5 values with Long, Lat values not available, those values were removed. A Fire icon is used to denote the location Fire Stations on the Map.

  2. Units on Scene Parameter is used to adjust size of circle Markers by severity.

4. Distance from Firehouse and Response Time

4a. Calculate Distance

The distance to the Nearest Firestation is Calculated in 2 steps.

  1. Using an R function The BIN value of the Nearest Fire Station is calculated for each Incident. This is merged with Firehouse data to find corresponding Location of the Incident v Firestation.

  2. Using distHaversine funtion the distance was calculated and then value was merged to Severe Incidents data

The plot shows distance in miles and response time in minutes, the size of the circles depends on the severity of the Incidents. I.e more units on scene, larger is the circle.

4b. Map of Response Times

Response time was calculated using Incindet time and Arrival time, this difference is used as the radius of individual circles. Further the color is based on the property type for the incidents.